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we1zhaoji's Projects

awesome-carla icon awesome-carla

carla资源的汇总 👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

candy icon candy

Candy: Self-driving Agent in Carla.

carla icon carla

Open-source simulator for autonomous driving research.

carla-rl icon carla-rl

Reinforcement Learning Agents Trained in the CARLA Simulator

carla-semantic-segmentation icon carla-semantic-segmentation

This repository holds my dissertation project during my time at the University of Bristol titled 'Deep Learning for Semantic Segmentation'.

carla_cil_pytorch icon carla_cil_pytorch

A pytorch implementation to train the conditional imitation learning policy in "End-to-end Driving via Conditional Imitation Learning" and "CARLA: An Open Urban Driving Simulator".

coach icon coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

coiltraine icon coiltraine

Training framework for conditional imitation learning

ddpg icon ddpg

reinforcement learning ddpg code. follow deepmind papers.

deterministic-gail-pytorch icon deterministic-gail-pytorch

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

drl icon drl

Repository for codes of 'Deep Reinforcement Learning'

gail_gym icon gail_gym

Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.

gail_ppo_tf icon gail_ppo_tf

我的项目Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

ganhacks icon ganhacks

GAN的训练技巧starter from "How to Train a GAN?" at NIPS2016

imitation icon imitation

Code for the paper "Generative Adversarial Imitation Learning" 我需要的

imitation-learning icon imitation-learning

Autonomous driving: Tensorflow implementation of the paper "End-to-end Driving via Conditional Imitation Learning"

macad-gym icon macad-gym

Learning Environments for Multi-Agent Connected Autonomous Driving (MACAD) Gym. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

muti-branch-ddpg-carla icon muti-branch-ddpg-carla

A tensorflow implemention of ECCV2018 Paper:CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving

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